866 citations · 988 across the 9 of their papers we have counts for
4 papers · 1 filter
Bayesian semiparametric modelling of phase-varying point processes
Bastian Galasso, Yoav Zemel, Miguel de Carvalho
We propose a Bayesian semiparametric approach for registration of multiple point processes. Our approach entails modelling the mean measures of the phase-varying point processes wi…
Statistical Aspects of Wasserstein Distances
Victor M. Panaretos, Yoav Zemel
Wasserstein distances are metrics on probability distributions inspired by the problem of optimal mass transportation. Roughly speaking, they measure the minimal effort required to…
Optimal Transport: Fast Probabilistic Approximation with Exact Solvers
Max Sommerfeld, Jörn Schrieber, Yoav Zemel +1
We propose a simple subsampling scheme for fast randomized approximate computation of optimal transport distances. This scheme operates on a random subset of the full data and can…
Procrustes Metrics on Covariance Operators and Optimal Transportation of Gaussian Processes
Valentina Masarotto, Victor M. Panaretos, Yoav Zemel
Covariance operators are fundamental in functional data analysis, providing the canonical means to analyse functional variation via the celebrated Karhunen--Loève expansion. These…